Zaeem Asif

Led end-to-end development of scalable MERN/MEAN/MEVN applications using React.js/Angular/Vue.js, Node.js/TypeScript, and MongoDB. Built high-performance front ends with reusable components, state management, SSR, and performance optimizations. Architected backend services with Node.js/Express and Python/Django/PHP/Laravel, integrating RESTful APIs, GraphQL, WebSockets, and microservices. Developed AI-powered features by integrating LLM APIs and n8n workflows for intelligent automation and third-party integrations. Optimized PostgreSQL/MongoDB/MySQL with data modeling, indexing, query optimization, and Redis caching. Managed cloud deployments on AWS (EC2, S3, RDS, Lambda, SQS) using Docker, Kubernetes, and CI/CD pipelines, including system design, code reviews, mentoring, and technical leadership.

Led enterprise full-stack architecture and development across MEAN, MERN, MEVN, PHP, Laravel, React.js, Angular, Vue.js, Next.js, Node.js, Express.js, TypeScript/JavaScript, MongoDB, MySQL/PostgreSQL, REST APIs, GraphQL, microservices, event-driven architecture, API gateways and versioning, async processing, and third-party integrations. Built high-performance frontend applications with React/Angular/Vue/Next, TypeScript/JavaScript, Redux/React Hooks, Vue Router/Pinia/Vuex, SSR/SSG, responsive and accessible UI, component reuse, and frontend performance optimization. Engineered scalable backend platforms with Laravel/PHP/Node.js/Express, REST APIs, GraphQL, WebSockets/Socket.io, queues, Redis caching, background jobs, middleware, events, clean architecture, and cloud-native development practices. Designed data services with MongoDB/MySQL/PostgreSQL/Redis and implemented database architecture, indexing, aggregation, query optimization, transactions, replication, caching strategies, and

Developed scalable MERN and MEAN applications using React.js/Angular/Node.js/Express/TypeScript and MongoDB. Built responsive front ends with React.js/Next.js, Redux, TypeScript, focusing on reusable components, state management, SSR, and performance. Implemented backend services with Node.js/Express/Python/Django/PHP/Laravel, integrating RESTful APIs, GraphQL, and WebSockets. Integrated AI-powered features using LLMs and n8n workflows for intelligent applications and process automation. Optimized database performance across MongoDB/PostgreSQL/MySQL through schema design, indexing, query optimization, and Redis caching. Deployed solutions on AWS using Docker and GitHub Actions with CI/CD pipelines to support microservices architecture and production readiness.